Real-time Tumor Tracking with Respiratory Motion Based on Short-term Prediction

Abstract

Abstract-The purpose of this study is to design a 3D navigation strategy with 2D ultrasonic images, with the assumption that the internal target trajectory could be evaluated with extern surrogate signals. This paper first proposes a simple 3D navigation strategy and then designs a fast tumor tracking system that exploits learning based methods, which learns the mapping relation between the external surrogate signals and the internal tumor trajectory. This paper uses our own retrospective clinical data to test the developed system. The experimental results show that this system has the potential to implementing high accuracy tumor tracking and navigation.

Experimental and Preliminary Clinical Study of Real-Time Registration in Liver Tumors During Respiratory Motion Based on a Multimodality Image Navigation System

“…12,13 Our group has proposed a simple 3-D navigation strategy, and we have designed a fast tumor tracking system to handle respiratory motion. 14 The elaborate system we designed for navigation was based on a method that combines rigid registration transformation and real-time respiratory-phase monitoring. It can fuse registrations obtained in intraoperative multimodal images and real-time navigation under conditions involving respiratory motion.…”

“…The integrated algorithm used in this system was described in detail in our previous study. 14 Compared to Varian real-time position management (RPM) and optical imaging equipment, this system provides the following advantages. (1) Varian RPM obtains only a limited number of individual positions (usually 1), whereas the system used in this study can simultaneously acquire the positions and orientations of up to 8 individual points, thus providing a more comprehensive analysis of surface features relative to respiratory movements.…”